DDL to Data

Here's a first comment for PH: Hey Product Hunt! I'm Travis, and I built DDL to Data because I was tired of the same conversation at every company: "Just copy prod and mask it" or "We need someone to update the seed scripts." Both options suck. Prod dumps are a security risk and stale by the time you get them. Seed scripts break every time someone adds a column. And writing realistic test data by hand? Nobody has time for that. So I built something simpler: paste your CREATE TABLE statements, get realistic data back. Foreign keys work. Emails look like emails. Timestamps make sense. I launched on Hacker News a couple weeks ago, got a ton of feedback, and rebuilt almost everything, better pricing, higher limits, cleaner UX, and a new feature called Story Mode that uses AI to generate contextually coherent data (employees actually work at their companies, email domains match, everything tells a consistent story). Would love your feedback: What's missing? What would make this useful for your team? How do you currently handle test data? Thanks for checking it out!